Shallow Parsing

A SNoW based learning approach to shallow pars- ing tasks is presented and studied experimentally. The approach learns to identify syntactic patterns by combining simple predictors to produce a coherent …...

Treating shallow parsing as part-of-speech tag- ging yields results comparable with other, more elaborate approaches. Using the CoNLL 2000 training and testing material, our best model had an accuracy of …...

This paper reports on work carried out to de- velop a spelling and grammar corrector for Dan- ish, addressing in particular the issue of how a form of shallow parsing …...

We present a rule−based shallow− parser compiler, which allows to generate a robust shallow−parser for any language, even in the absence of training data, by resorting to a very limited …...

A meaningful noun-verb word-pair in a sentence is called a noun-verb event-frame (NVFE). Previously, we have developed an NVEF word-pair identifier to demonstrate that NVEF knowledge can be used effectively …...

Conditional random fields for sequence label- ing offer advantages over both generative mod- els like HMMs and classifiers applied at each sequence position. Among sequence labeling tasks in language processing, …...

This paper proposes a discriminative HMM (DHMM) with long state dependence (LSD- DHMM) to segment and label sequential data. The LSD-DHMM overcomes the strong context independent assumption in traditional generative …...

Recently, shallow parsing has been applied to various information processing systems, such as information retrieval, information extraction, question answering, and automatic document summarization. A shallow parser is suitable for online …...

Conditional random fields (Lafferty et al., 2001) are quite effective at sequence labeling tasks like shal- low parsing (Sha and Pereira, 2003) and named- entity extraction (McCallum and Li, 2003). …...

. Natural language processing (NLP) is a very hot research domain. One important branch of it is sentence analysis, including Chinese sentence analysis. However, currently, no mature deep analysis theories …...

We describe a new loss function, due to Jeon and Lin (2006), for estimating structured log-linear models on arbitrary features. The loss function can be seen as a (generative) al- …...

Most existing systems for Chinese Seman- tic Role Labeling (SRL) make use of full syntactic parses. In this paper, we evalu- ate SRL methods that take partial parses as inputs. …...

There is significant evidence in the literature that integrating knowledge about multiword expressions can improve shallow parsing ac- curacy. We present an experimental study to quantify this improvement, focusing on …...

. We introduce a method for learning to find the representative syntax-based context of a given collocation/phrase. In our approach, grammatical patterns are extracted for query terms aimed at accelerating …...

AbstractThe paper presents the procedure of syntactic annotation of the National Corpus of Polish. The paper concentrates on the delimitation of syntactic words (analytical forms, reflexive verbs, discontinuous conjunctions, etc.) …...

Natural language processing tasks often rely on part-of-speech (POS) tagging as a prepro- cessing step. However it is not clear how the absence of any part-of-speech tagger should hamper the …...

Reordering is of essential importance for phrase based statistical machine translation (SMT). In this paper, we would like to present a new method of reordering in phrase based SMT. We …...

This paper describes a temporal expression identification and normalization system, Man- TIME, developed for the TempEval-3 chal- lenge. The identification phase combines the use of conditional random fields along with …...

AbstractThe paper contains a description of OPFI: Opinion Finder for the Polish Language, a freely available tool for opinion target extraction. The goal of the tool is opinion finding: a …...

With the growth of Internet usage, a massive amount of textual data is generated on social media and the Web. As the text on the Web are generated by different …...